This DATSETNAMEreadme.txt file was generated on 2019-11-18 by Dirceu Reis

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GENERAL INFORMATION
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1. Title of Dataset : Data from: Operational Bayesian GLS Regression for Regional Hydrologic Analyses

2. Author Information

  Principal Investigator Contact Information
        Name: Dirceu Reis
           Institution: University of Brasilia
           Address: Campus Darcy Ribeiro, Dept. de Engenharia Civil e Ambiental, Brasilia DF 70910.900, Brazil
           Email: dirceu.reis@gmail.com or dirceureis@unb.br

  Associate or Co-investigator Contact Information
        Name: Jery Stedinger
           Institution: Cornell University
           Address:213 Hollister Hall, Ithaca NY 14053
           Email: jrs5@cornell.edu 

3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD> N/A

4. Geographic location of data collection (where was data collected?): N/A

5. Information about funding sources that supported the collection of the data: 
1- Brazilian Government agency CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico
2- Water Resources Institute Internship Award #07HQAG0161 from the U.S. Geological Survey, U.S. Department of the Interior.


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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:  CC0 1.0 Universal (CC0 1.0) Public Domain Dedication  (https://creativecommons.org/publicdomain/zero/1.0/)

2. Links to publications that cite or use the data:  https://doi.org/10.1029/2019WR026940

3. Links to other publicly accessible locations of the data: N/A

4. Links/relationships to ancillary data sets: N/A

5. Was data derived from another source? No

6. Recommended citation for the data: Reis, Dirceu S Jr; Veilleux, Andrea G; Lamontagne, Jonathan R; Stedinger, Jery R and Martins, Eduardo S. (2020). Data from: Operational Bayesian GLS Regression for Regional Hydrologic Analyses [Dataset]. Cornell University Library eCommons Repository. https://doi.org/10.7298/X4348HHJ.2

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DATA & FILE OVERVIEW
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1. File List      
   ReisEtAl_WRR2019_Skew.txt    
   ReisEtAl_WRR2019_CovarianceMatrix.txt        
   Reis_Et_Al_2019_ExplanatoryVariables.txt
   Reis_Et_Al_2019_ConcurrentRecordLength.txt
   Reis_Et_Al_2019_RecordLength.txt

2. Relationship between files: N/A

3. Additional related data collected that was not included in the current data package: N/A

4. Are there multiple versions of the dataset? Yes
           An earlier version of the data (2018) is available at: https://doi.org/10.7298/X4348HHJ

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DATA-SPECIFIC INFORMATION FOR: ReisEtAl_WRR2019_Skew.txt
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1. Number of variables: 1

2. Number of cases/rows: 92

3. Description: contains the skew values for the 92 stations used in the Piedmont region in the Southeastern U.S. example (no units)
	   

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DATA-SPECIFIC INFORMATION FOR: ReisEtAl_WRR2019_CovarianceMatrix.txt
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1. Number of variables: 92

2. Number of cases/rows: 92

3. Description: comma-separated value file that contains the sampling covariance matrix (92 x 92) for the Piedmont region in the Southeastern U.S. example (dimensionless)


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DATA-SPECIFIC INFORMATION FOR: Reis_Et_Al_2019_ExplanatoryVariables.csv
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1. Number of variables: 16

2. Number of cases/rows: 92

3. Description: text file that contains values of the explanatory variables used in the Piedmont region in the Southeastern U.S. example. There are 5 lines of header information in this file.

4. Variables: 
(1) Station number (1-92);
(2) USGS code;
(3) drainage area, A, in squared miles; 
(4) main channel slope in feet per mile; 
(5) average basin slope in percentage; 
(6) length of the main channel in miles; 
(7) basin perimeter length in miles; 
(8) basin shape factor, defined as the ratio between the perimeter squared and the drainage basin; 
(9) the mean basin elevation in feet above sea level; 
(10) the maximum basin elevation in feet above sea level; 
(11) the minimum basin elevation in feet above sea level; 
(12) annual mean precipitation; 
(13) fraction of impervious surface area expressed in percentage of drainage area; 
(14) forest cover expressed as percentage of drainage area; 
(15) mean soil drainage index, which varies from 1 to 7, with 1 denoting excessively-drained soil; 
(16) mean hydrologic soil index, which varies from 1 to 4, with 1 denoting high infiltration rate.

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DATA-SPECIFIC INFORMATION FOR: Reis_Et_Al_2019_ConcurrentRecordLength.txt
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1. Number of variables: 92

2. Number of cases/rows: 92

3. Description: comma-separated value file that contains the number of concurrent record length between pairs of sites (92 x 92) for the Piedmont region in the Southeastern U.S. example (years)

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DATA-SPECIFIC INFORMATION FOR: Reis_Et_Al_2019_RecordLength.txt
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1. Number of variables: 1

2. Number of cases/rows: 92

3. Description: comma-separated value file that contains the record length for the 92 stations used in the Piedmont region in the Southeastern U.S. example (years)